Enterprises are pouring billions into artificial intelligence, yet few can prove its value. A recent McKinsey study reveals the stark truth: while over 90% of business leaders are actively investing in AI, only 1% express confidence in achieving meaningful ROI. This disconnect defines what’s now known as the AI Value Paradox Triad, where trust, scalability, and business impact rarely align.
This month’s Lighthouse explores how Minimum Viable Agents (MVAs) are redefining that equation. Rooted in the “Lab-to-Factory” model pioneered by Altimetrik’s Alti AI Adoption Lab, MVAs offer enterprises a disciplined yet flexible approach to move from experimentation to execution, building trust through verifiable governance, scaling AI safely, and accelerating ROI.
The results are tangible: early client applications are reporting 30–60% reductions in time-to-value, while engaging thousands of users across complex, regulated industries. As Dr. Tapati Bandopadhyay explains in her latest paper, MVAs turn AI ambition into measurable outcomes - faster, safer, and with trust built by design.
Integrate Snyk with Terraform to enhance your Infrastructure-as-Code security and build with confidence.
Discover how Retrieval-Augmented Generation (RAG) in Agentforce is transforming enterprise data into smarter, context-aware AI experiences.
As the LLM ecosystem expands, performance metrics have become as fragmented as the models themselves. Accuracy, latency, safety, and compliance vary wildly and without a shared standard, comparing them is guesswork.
Benchmarking changes that. By tracing every data point back to its source, enterprises gain a transparent, side-by-side view of how models truly perform in real-world contexts. From evaluating fine-tuning flexibility to assessing GDPR and HIPAA readiness, benchmarking transforms LLM selection from intuition to evidence.
Because in the new AI economy, the right model isn’t the biggest it’s the one that’s built for your business.
The rise of intelligent agents promises automation at a new scale but without structure, it also introduces new risks. From unsafe behavior to unexplainable actions, enterprise deployment demands more than experimentation. It demands discipline.
The Agentic Development and Assessment Framework (ADAF) by Altimetrik brings that discipline. Designed as a safety-first, full-lifecycle methodology, ADAF ensures that every agent whether a simple task bot or a complex multi-agent system is explainable, auditable, and production-ready from day one.
With built-in guardrails, human-in-the-loop validation, and observability woven throughout the lifecycle, ADAF aligns innovation with accountability. It supports structured prototyping, maturity gating, and seamless integration with leading stacks like LangChain, CrewAI, and Salesforce Agentforce.
Because building agents isn’t the challenge scaling them safely is.
We’re proud to be an Innovator Sponsor at the upcoming Databricks Industry Forum Zurich on November 12.
Join us for an exclusive fireside chat, “Right on Time: How Data & AI Elevate Luxury,” featuring Sulaiman Suhail, Global Head of Data, Analytics & AI at Breitling, and Vikas Krishnan, our Chief Digital Business Officer for UK/EMEA. Together, they’ll explore how data and AI are redefining the luxury experience and setting new standards for personalization.
Visit the Altimetrik booth to connect with our AI experts and see how we’re driving innovation across the Data & AI landscape.
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